Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award 

Ms. Zeba Shamsi, National Institute of Technology silchar, India

Dr. Zeba Shamsi is a dedicated researcher and academic currently pursuing her Ph.D. in Computer Science & Engineering at the National Institute of Technology (NIT) Silchar. With a solid foundation in cryptography, network security, and data encryption, she combines her extensive knowledge in computer science with practical research to advance the field. Zeba is fluent in English, Hindi, and Urdu, and her professional journey reflects a strong commitment to both teaching and research.

Professional Profile:

Scopus

Education 🎓

• Ph.D. (Pursuing) in Computer Science & Engineering from National Institute of Technology, Silchar (2019–Present). Her research areas include cryptography, cryptanalysis, steganography, watermarking, network security, image processing, audio signal processing, and data encryption.
• M. Tech in Computer Science & Engineering from Al-Falah University, Faridabad, Haryana (2015–2016). Her dissertation focused on cost estimation approaches.
• B. Tech in Computer Science & Engineering from Assam Don Bosco University, Guwahati, Assam (2010–2014). Her project involved implementing energy efficiency in wireless sensor networks.

Work Experience 💼

• Research Scholar at National Institute of Technology, Silchar (March 2019–Present), contributing to various research projects in computer science and engineering.
• Guest Faculty at Maulana Azad National Urdu University (November 2017–March 2019), where she taught courses related to computer science and engineering.

Skills 💻

Zeba possesses expertise in several critical areas including:

• Cryptography: Advanced techniques for securing communication and data.
• Network Security: Protecting networks from unauthorized access and attacks.
• Image and Audio Processing: Techniques for analyzing and modifying images and audio signals.
• Data Encryption: Methods for encoding data to ensure its privacy and security.
• Steganography and Watermarking: Techniques for embedding information within other media for secure communication.

Awards and Honors 🏆

• Recognized for her research contributions in various national and international conferences and journals.
• Her paper “An Encryption Scheme for Securing Multiple Medical Images” was published in the Journal of Information Security and Applications, and she has received accolades for her innovative approaches in cryptography and security.

Memberships 🌐

• International Computer Science and Engineering Society (ICSES)
• PriMera Scientific Publication

Teaching Experience 📚

• Teaching Assistant at National Institute of Technology Silchar, involved in assisting with coursework and research supervision.
• Paper Setter and Examiner for various institutions, including MANUU Polytechnic and Al-Falah University, reflecting her role in academic assessment and curriculum development.

Research Focus 🔬

Dr. Zeba Shamsi’s research predominantly focuses on:

• Cryptography and Cryptanalysis: Developing advanced encryption methods to secure digital communications.
• Steganography and Watermarking: Techniques for hiding information within other data to ensure secure and covert communication.
• Network Security: Strategies to protect networks from cyber threats and attacks.
• Image and Audio Signal Processing: Enhancing and analyzing multimedia data for various applications.
• Data Encryption: Methods for securing data to prevent unauthorized access and breaches.

Publication Top Notes:

• 1. Visually meaningful cipher data concealment
     • Year: 2024
     • Journal: Digital Signal Processing: A Review Journal
  2. Securing encrypted image information in audio data
     • Year: 2023
     • Journal: Multimedia Tools and Applications
  3. Steganalysis on Dual-Layer Security of Messages Using Steganography and Cryptography
     • Year: 2023
     • Journal: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023)
  4. An encryption scheme for securing multiple medical images
     • Year: 2019
     • Journal: Journal of Information Security and Applications
  5. A method for the selection of agile methods using AHP
     • Year: 2017
     • Journal: Advances in Intelligent Systems and Computing

Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

Prof Dr. Zhong Su, Beijing Information Science & Technology University, China

Prof. Dr. Zhong Su is a distinguished professor and the Dean of the Academic Committee at Beijing Information Science & Technology University, where he also directs the Beijing Key Laboratory of High Dynamic Navigation Technology. With a robust academic foundation from Beijing Institute of Technology, including a Bachelor’s in Automatic Control, a Master’s in Computer Control, and a Ph.D. in Physical Electronics and Photoelectronics, Prof. Su specializes in autonomous positioning and control for intelligent autonomous systems and robotics. His prolific career includes leading over 40 projects, securing 58 invention patents, and publishing over 110 high-level papers. Recognized with accolades such as National Excellent Teacher and Beijing Scholar, Prof. Su’s work has significantly advanced the fields of image recognition and deep learning, impacting both national and international research landscapes.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Prof. Dr. Zhong Su is a highly suitable candidate for the Research for Best Researcher Award due to his extensive contributions and leadership in the field of Intelligent Autonomous Systems and Robotics. His distinguished career is marked by substantial research achievements, influential academic roles, and significant contributions to national and international projects.

Dean and Professor, Beijing Information Science & Technology University 🎓

Prof. Dr. Zhong Su is a distinguished professor at Beijing Information Science & Technology University and the Dean of the Academic Committee. He also serves as the Director of the Beijing Key Laboratory of High Dynamic Navigation Technology.

Academic Background and Qualifications 📚

Prof. Su completed his Bachelor’s in Automatic Control, Master’s in Computer Control, and Ph.D. in Physical Electronics and Photoelectronics, all from Beijing Institute of Technology. His extensive education underpins his expertise in intelligent autonomous systems and robotics.

Professional Experience 💼

Dr. Su has held significant roles throughout his career, including positions at The State-Owned 5027 Factory, Qinghai Normal University, and Beijing Institute of Information Engineering. Since 2019, he has been a key figure at Beijing Information Science & Technology University.

Research Interests and Contributions 🔬

Prof. Su’s research focuses on autonomous positioning and control within intelligent autonomous systems and robotics. He has led over 40 projects, including national key R&D plans and international cooperation projects. His work has resulted in 58 authorized invention patents, numerous high-level publications, and substantial economic benefits exceeding 3 billion RMB.

Professional Affiliations and Honors 🏆

He is a Vice Chairman of the China Inertial Technology Metrology Technical Committee and has served as an executive director for the China Simulation Federation. Prof. Su has received several accolades, including National Excellent Teacher and Beijing Scholar, and has been recognized for his contributions with multiple prestigious awards.

Innovations and Impact 🚀

Dr. Su has published over 110 high-level papers and 5 monographs, contributing significantly to advancements in image recognition and deep learning for complex environments. His leadership and groundbreaking research continue to impact the fields of autonomous systems and robotics.

Publication Top Notes:

• Title: Structural Optimization and Excitation Method of Metal-Shell Resonator Gyroscope Driven by Composite Electrodes

  • Year: 2023

• Title: Robust Multi-Constraint Map Matching Algorithm for Personal Inertial Positioning

  • Year: 2023

• Title: Image Recognition Method for Micropores Inside Small Gas Pipelines

  • Year: 2023

• Title: Deep Learning-Based Laser and Infrared Composite Imaging for Armor Target Identification and Segmentation in Complex Battlefield Environments

  • Citations: 4

  • Year: 2023

• Title: Research on Channel Characteristics and Electrode Electrical Performance of Earth Current Field Information Transmission Technology

  • Year: 2023